Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 6
Abstract
Today, e-commerce is a thriving industry. We do not need to approach every customer to accept their orders here. A business creates a website to offer things to clients, who can then purchase the stuff they need within the same website. These e-commerce firms include well-known ones like Amazon, Shopify, Myntra, Flipkart, and Ajio. To create a product recommendation system for the end customers, we will be using the data set of e-commerce product reviews in this final project. A sentiment analysis model will be used to enhance the suggestions. Under this final project, we will develop a sentiment analysis engine utilising a variety of machine learning approaches before selecting the model that produces the best results.
Authors and Affiliations
Muzakkiruddin Ahmed Mohammed
Keywords
Related Articles
- EP ID EP746020
- DOI 10.55524/ijircst.2022.10.6.20
- Views 2
- Downloads 0
WoT Based Contamination Monitoring System
Modernization and industrial development are disrupting the contamination 's equilibrium by releasing untreated harmful toxic elements into the atmosphere, resulting in contamination of basic ecosystem elements such as w...
In-Depth Energy Analysis and Consumption Prediction of India
Today's world requires extremely efficient energy consumption. Demand is rising as a result of the industrial sector's quick advancements, making energy efficiency initiatives essential to reducing energy waste and satis...
IoT Based Smart Alert Network Security System Using Machine Learning
The increasing security threats in public places such as airports, train stations, and shopping malls require the development of smart security systems that can detect potential threats and provide timely alerts to secur...
Analysing the Impact of Substrate Thickness on Antenna Performance for GPS Application
A microstrip patch antenna is a popular choice of antenna for use in the L band frequency range. They also have good radiation characteristics, making them ideal for receiving and transmitting low-power radio frequency s...
Optimizing Real-Time Object Detection- A Comparison of YOLO Models
Gun and weapon détection plays a crucial role in security, surveillance, and law enforcement. This study conducts a comprehensive comparison of all available YOLO (You Only Look Once) models for their effectiveness in we...